• Korean Journal of Agricultural Science
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• v.43 no.1
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• pp.127-135
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• 2016

Improving farming activity competence of farm households has recently been considered one of the most important factors for increasing farm income. However, few studies examine the relationship between farm income and farming activity competence of farm households directly due to the lack of an available dataset. In this study, we examine the relationship between farm household technical managerial competence and farm household income based on the nearly 30,000 farm households consulting data gathered by the Rural Development Administration, RDA. The major findings of this study are as follows: firstly, statistically significant differences in agricultural and farm household income exist between farm households categorized by farm activity competence levels in terms of technique and management. Secondly, a technically and managerially competent farm household group (high-rank farm household) has 2.2 times higher agricultural income and 1.9 times higher farm household income than the technically and managerially incompetent farm household group (low-rank farm household). Thirdly, farm household technical-managerial competence is one of the major factors that affect agricultural and farm household income. Regarding technical competence, agricultural income and farm household income increased by approximately 1,390,000 won and 1,530,000 won, respectively, as technical points increased by one point. However, with respect to managerial competence, agricultural income and farm household income increased by approximately 1,320,000 won and 2,070,000 won, respectively, as managerial points increased by one point.

• Health Policy and Management
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• v.17 no.3
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• pp.50-67
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• 2007

This study investigated income elasticity of household health expenditures and differences by income level from 1998 through 2003. Data from Korean Labor and Income Panel Study was used for empirical analyses. To estimate the income effects on health expenditure, the two-part model was employed: a logistic regression for any health expenditure-first part-and a Ordinary Least Square regression for health expenditure conditional on any spending-second part. To estimate income elasticity, both health expenditure and income were log transformed in the second part. In addition, the random effects(RE) model was used for a longitudinal panel which was continuously followed from 1998 through 2003 to estimate income effects on health expenditures controlling for within and between unobservable household characteristics. Furthermore, difference in income effects on health expenditure across income level was investigated. Although income slightly increased odds of any health expenditure, there was not no table differences across income level. Income significantly increased health expenditures during study period(overall income elasticity: about 0.2) and the highest 20% income group presented higher income elasticity than the lowest 20% income group.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.77-86
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• 2018

This study was carried out by using the concentration index calculation method from 1996 to 2016 by using the household trend survey data to confirm the difference of income transfer income and inequality in public transfer income. The main results are as follows. First, the public transfer income concentration index in 1996 was concentrated on the high income group with +0.2774, but since 2009, the concentration index has been negative (-), which has concentrated on the low income group. However, the effect of redistribution of income was small. Second, the average public transfer income of low - income households increased significantly while the number of high income earners decreased. It is gradually improving that public transfer income did not play a role in the improvement of income inequality. Third, public transfer income has been continuously increasing in all income classes, and the rate of increase is low in the low income class and slow in the high income class, so the public transfer income of the low income class is higher than that of the high income class. In sum, the inequality of public transfer income by income class in Korea is gradually improving, but it is not considered to be a level that can improve the inequality between income groups.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.229-241
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• 2023

This study aims to examine the farm household income and consumption structure change as well as farm income inequality. Data from the Agricultural Household Survey for the years 2016, 2021, and 2022 were hired to analyze farm income inequality by the Gini coefficient decomposition method. Results show that from 2016 to 2021, all income quintiles exhibited an increasing trend, but in 2022, income decreased across all quintiles. As a result of analyzing farm household consumption expenditure, consumption expenditure increased in all income quintiles in 2021 and 2022 compared to 2016, but consumption of optional goods decreased in the fifth quintile. In addition, it was found that farmers in the first quartile had higher consumption expenditures and expenditures on options than those in the second quartile. The analysis of farm income by region show that public subsidies increased significantly for general rural farmers than for farmers in special and metropolitan areas in all income quintiles during the period. In the case of the first quintile, farm household income in rural areas in special and metropolitan cities increased compared to general rural areas. In the fifth quartile, agricultural income and sideline income in general rural areas increased compared to rural areas in special and metropolitan cities, while rural areas in special and metropolitan cities increased non-business income compared to rural areas. Results of farming income inequality by income type show a steady decline in inequality from 2016 to 2022, indicating that the decreasing gini coefficinet of public subsidies is contributing to the decline in farm income inequality. Private subsidies and side income are shown to increase inequality.

• Journal of Family Resource Management and Policy Review
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• v.12 no.1
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• pp.57-89
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• 2008

Using the data of 'middle-and old-aged people' in the 6th year(2003) of KLIPS(Korea Labor and Income Panel Study), this study compared entirely retired men's income source and amount of income divided by the time of retirement and analyzed the determinants of main income source and amount of income level using Multinomial Logit Analysis and Tobit Analysis. The results of these were as following; First, Entirely retired men has average 1.27 income source and the amount of income from main income source is positioned at 85% of total income. This result indicates the lack of variety to get opportunities of income sources for the living and also means high risk associated with the entirely retired men if he looses the main income source. Second, most of income source of entirely retired men is spouse's earned income or private income transfers, however, if we divide those as timing of retirement and characters of each individual, it is represented that the most of income source is differentiated by the position at labor market during work life and the opportunity for building the wealth, and the possibility of obtaining public pension and public support. Third, the income level depends on what sort of income source the retired men has, this shows that there is not a strong relationship between obtaining a Income source and gaining above the certain level of income.

• The Journal of Fisheries Business Administration
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• v.39 no.1
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• pp.63-85
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• 2008

The objective of this study is to review the methodology of economic analysis of fishing ports by examining the economical feasibilities of a national fishing port (Jeongja Port) in Ulsan. This study utilized market value evaluation method to measure the benefits and costs related to the development of ports. The benefit variables are income effects resulting from the developments while the cost variables are sum of construction costs and maintenance costs. The income effects are measured in two ways: (1) income from individual project resulting from the developments, (2) the income effects by utilizing investment multipliers. The results shows that the BC ratio (Benefits/Costs) of Jeongja port by using (1) income from individual project resulting from the developments was 1.07 while the BC ratio by using (2) the income effects by utilizing investment multipliers was 1.10 due to a relative short period of useful life for investment multipliers. However, the income variable utilizing investment multipliers is more sensitive to the period of duration than the income variable from individual project.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.209-215
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• 2022

This study aims to analyze the livelihood resources and income diversification of informal recyclers in the Mekong River Delta (MRD). The multiple linear regression model was applied to determine income diversification and total household income with the sustainable livelihood analysis framework developed by the United Kingdom Department for International Development (2000), including human resources, physical resources, natural resources, financial resources, and social resources. The results indicated that up to 25% of itinerant waste buyers worked on average more than 7.3 hours/day, which was higher than the urban near-poor level regulated by the Vietnam government. The results of the regression model revealed that total households' income was affected by the factors of health status, gender, urban location type 1, the amount of potential savings, and informal credit participation, while the factors of health status, urban location, the amount of potential savings, and informal credit participation have the effect of diversifying farm household income. Thus, if the informal waste recycling sector is supported and regulated by proper government management, it will not only help poor households diversify their income, but it will also help poor households diversify their income, particularly women's income, which is vulnerable and lower than male income in the MRD.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.191-199
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• 2015

This paper studies the composition of income sources of the elderly and the difference of sources of income by the elderly characteristics. First, the results of analysis on the structure of sources of income show the average income of the elderly appears 7.7million won the consists of 3.0million won from market, 2.5million won from nation, 2.2million won from family. Income sources of the elderly are dependent on business income, property income, earned income in the market. Second, the results of differences analysis in demographic characteristics, men get a lot of income through the market and nation, while women get through families. Market income is high younger and family income is the more older. Depending on where you live, family income and national income is higher relatively urbanized. Third, the results of analysis by depending on the income, level of national income and market income is higher, while family income is high-income the case less income. Fourth, differences in health status by analysis of the sources of income have higher levels of health status and market high and lower income families rely heavily on the private sector, such as can be seen. Therefore, market and family income is higher than another countries. and the complement of public income support system is required for vulnerable people.

• Journal of the Korean Home Economics Association
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• v.8 no.1
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• pp.198-215
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• 1970

The basic purpose of this study is to explore the household economic effects on home administration. The major goals of home administration is to promote mental and physical welfare of the family members. In order to realize mental and physical welfare, the stability and satisfaction is needed. And to promote stability and satisfaction, the efficiency must be accomplished and the efforts is required. So the four variables to measure home administration situation are as follows. 1) The degree of the stability 2) The degree of the efficiency 3) The degree of the efforts 4) The degree of the satisfaction. The factor of Household economic level is the size of the family's money income. Although size of income is not the bases for either standard of living or Socioeconomic status, it is closely related to both. To solve this problem. Some hypotheses are specified as follows. Hypotheses I The degree of the stability is different among the groups by income level. The group which is high income level will be more stable than low income level. Hypothesis II The degree of the efficiencies different among the groups by income level. The group which is high income level will be more efficient than low income level. Hypothesis III The degree of the efforts is different among the groups by income level. The group which is high income level will more effort than low income level. Hypothesis IV The degree of the satisfaction is different among the groups by income level. The group which is high income level will feel more satisfaction than low income level. In order to test those hypotheses random selection of 190 subjects from the four girls high schools in Seoul was made, and the parents of the students reported their home administration situation. The results of this study show that; 1) the group which is high income level revealed more stability than low income level. The differences of each group are revealed very significant. 2) The differences of the degree of the efficiency among the groups are unsignificant. 3) the group which is high income level revealed more effort than low income level. The differences of each group are revealed significant. 4) The group which is high income level revealed more satisfaction than low income level. The differences of each group are particularly significant. So the conclusion can be drawn from this study. Every group by income level revealed significant differences in home administration. So the household economy greatly effects on home administration.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.392-404
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• 2019

The purpose of this study was to identify the impact of various income sources on income inequality of forestry households. Data from the Forestry Household Economy Survey from 2013-2016 were analyzed using the Gini coefficient decomposition method via income source. In particular, the income inequality analysis of forestry households was broken down into separate analyses based on group, i.e., the whole of forestry households and the five income quintile classes. The results of the analyses showed that income inequality of forestry households is primarily affected by forestry and nonforestry incomes and income quintile class. Moreover, income inequality of the highest income quintile class was largely affected by forestry income compared with other sources of income, whereas that of other income quintile classes was largely affected by nonforestry income. Therefore, in order to reduce income inequality in forestry households, it is necessary to increase the proportion of forestry income in the lower four quintile classes. Given that the income of the lowest quintile class is negative, it is necessary to devise ways to improve the proportion and quantity of forestry income. At the same time, as forestry income increases, a policy alternative is also required to improve inequality in forestry income.